51 cloud-computing-"https:" "https:" "https:" "https:" Postdoctoral positions at Pennsylvania State University
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computational approaches. Prepare peer-reviewed manuscripts, contribute to grant proposals, and present findings at conferences. Mentor undergraduate and graduate researchers and collaborate with faculty and
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University (University Park). The project is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, through program PAR-20-299 (Translational Research in Maternal and
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of head and neck squamous cell carcinoma (HNSCC). The overarching goal of the research program is to identify biologic determinants of tumor control and normal tissue injury following radiation therapy, and
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computational modeling. Exhibit advanced analytical and problem-solving abilities. Demonstrate excellent experimental skills, with proficiency in asphalt binder and mixture testing. Have a proven record of
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. These positions are primarily for work on scattering amplitudes in gauge and gravity theories—understanding their mathematical form, developing tools for their computation and representation, and applying new
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the human and other genomes. The successful applicant must have the ability to plan, execute, interpret, document, and troubleshoot independent research and to collaborate effectively with other computational
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expected to collaborate with a faculty mentor and supervisor and graduate students. Applicants should preferably have research interests in applying computational methods (broadly defined) to one or more of
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experimental and/or data skills are welcome to apply. Experience in computer programming (e.g., Matlab, Python) and neuroinformatics tools is a plus but not required. Previous work with rats and basic surgical
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researchers. Applicants should expect to perform the tasks required to generate peer-reviewed manuscripts and abstracts accepted to regional/scientific conferences during the training/research program
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computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data